Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
These data were collected as part of a voluntary initiative to create a White-Nose Syndrome Diagnostic Laboratory Network among laboratories participating in research and surveillance for Pseudogymonascus destructans (Pd) - the fungal pathogen causing White-Nose Syndrome in bats. Pd_qPCR_InterlaboratoryLODdata.xlsx is raw qPCR data from multiple laboratories running serial dilutions of Pd gBlock in known concentrations for the collectively used Muller (2013) Pd qPCR assay. Pd_qPCR_InterlaboratoryResults_LOD.xlsx contains the data output for each laboratory from running a generic LOD/LOQ calculator script. the generic LOD/LOQ calculator script is available at:https://github.com/cmerkes/qPCR_LOD_Calc. Pd_qPCR_InterlaboratoryPTResults_PanelData.xlsx contains the raw qPCR data from multiple laboratories running blinded samples spiked with known concentrations of Pd conidia. Each sample was extracted once and run in triplicate using the Muller (2013) assay. Pd_qPCR_InterlaboratoryPTResults_PanelResults contains the results of the blinded samples in each laboratory panel as both qPCR Ct values per replicate, and final overall sample result according to the WNS Case Definition. Pd_qPCR_InterlaboratoryPTResults_Standards.xlsx contains the results of the standard curves run by each laboratory in conjunction with the blinded sample panel.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.276 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it